shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
TF2 implementation of "Attention, Learn to Solve Routing Problems!" (arXiv:1803.08475) article.
My implementation of solving the Capacitated Vehicle Routing Problem in the paper "Attention, learn to solve routing problems"
Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"
Amazing Collection Vehicle Routing Problem
Kaggle Amazon Competition
Track prices on Amazon and receive email alerts for price drops
A recommendation engine which suggests similar products to the given product in any e-commerce websites. The recommendation engine, uses information about 1,80,000 Amazon products
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
A deep learning based text summarizer for Amazon reviews in tensorflow.
Amazon Employee Access Challenge
Kaggle challenge
A machine learning program to predict the access needs of an amazon employee. Implements a random forest ensemble combined with Paul Duan's logistic model from kaggle forum.
Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"
Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"
AMC: Attention guided Multi-modal Correlation Learning for Image Search
【Scripts】🧮 🚴♀️ ... Scripts to solve NP complete vehicle routing problems
The code for "An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation" (EMNLP 2018)
PyTorch Implementation of CVPR 2018 paper AMNet: Memorability Estimation with Attention
Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)
This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.
Code for running real vs fake experiments on Amazon Mechanical Turk
Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/abs/1412.6597
An ANN-LSTM based Model for Learning Individual Customer Behavior in Response to Electricity Prices
An implementation for SemEval 2018 Task 11: Machine Comprehension using Commonsense Knowledge
Dialogue Generation with Sequence to Sequence Learning
Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.